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Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2025 Workshops, ADUR, FairPC, GLFM, PM4B and RAFDA, Sydney, NSW, Australia, June 10–13, 2025, Proceedings /

This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025. The 31 papers presented in here were carefully...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Yuan, Shuhan (Editor), Malliaros, Fragkiskos (Editor), Zheng, Xin (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Colección:Lecture Notes in Artificial Intelligence, 15835
Materias:
Artificial intelligence.
Computers.
Data mining.
Information storage and retrieval systems.
Image processing > Digital techniques.
Computer vision.
Artificial Intelligence.
Computing Milieux.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:https://doi.org/10.1007/978-981-96-8197-6
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Descripción
Sumario:This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025. The 31 papers presented in here were carefully reviewed and selected from 54 submissions. This volume includes the proceedings from the following Workshops: Workshop on Advanced Data-Driven Techniques for Urban Resilience (ADUR 2025) Workshop of Foundational AI for Pervasive Computing (FairPC 2025) Workshop on Graph Learning with Foundation Models (GLFM 2025) Workshop on Pattern Mining and Machine Learning for Bioinformatics (PM4B 2025) Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA 2025).
Descripción Física:X, 420 p. 105 illus., 99 illus. in color. online resource.
ISBN:9789819681976
ISSN:2945-9141 ;
DOI:10.1007/978-981-96-8197-6

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